Kafka部署与代码实例（转）-白红宇

Kafka部署与代码实例（转）

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发布时间：2019-06-23

本文共 8483 字，大约阅读时间需要 28 分钟。

来自：http://doc.okbase.net/QING____/archive/19447.html

也可参考:

http://blog.csdn.net/21aspnet/article/details/19325373

http://blog.csdn.net/unix21/article/details/18990123

kafka作为分布式日志收集或系统监控服务，我们有必要在合适的场合使用它。kafka的部署包括zookeeper环境/kafka环境，同时还需要进行一些配置操作.接下来介绍如何使用kafka.

我们使用3个zookeeper实例构建zk集群，使用2个kafka broker构建kafka集群.

其中kafka为0.8V，zookeeper为3.4.5V

一.Zookeeper集群构建

我们有3个zk实例，分别为zk-0,zk-1,zk-2;如果你仅仅是测试使用，可以使用1个zk实例.

1) zk-0

调整配置文件：

clientPort=2181server.0=127.0.0.1:2888:3888server.1=127.0.0.1:2889:3889server.2=127.0.0.1:2890:3890##只需要修改上述配置，其他配置保留默认值

启动zookeeper

./zkServer.sh start

2) zk-1

调整配置文件(其他配置和zk-0一只)：

clientPort=2182##只需要修改上述配置，其他配置保留默认值

启动zookeeper

./zkServer.sh start

3) zk-2

调整配置文件(其他配置和zk-0一只)：

clientPort=2183##只需要修改上述配置，其他配置保留默认值

启动zookeeper

./zkServer.sh start

二. Kafka集群构建

因为Broker配置文件涉及到zookeeper的相关约定，因此我们先展示broker配置文件.我们使用2个kafka broker来构建这个集群环境，分别为kafka-0,kafka-1.

1) kafka-0

在config目录下修改配置文件为：

broker.id=0port=9092num.network.threads=2num.io.threads=2socket.send.buffer.bytes=1048576socket.receive.buffer.bytes=1048576socket.request.max.bytes=104857600log.dir=./logsnum.partitions=2log.flush.interval.messages=10000log.flush.interval.ms=1000log.retention.hours=168#log.retention.bytes=1073741824log.segment.bytes=536870912log.cleanup.interval.mins=10zookeeper.connect=127.0.0.1:2181,127.0.0.1:2182,127.0.0.1:2183zookeeper.connection.timeout.ms=1000000kafka.metrics.polling.interval.secs=5kafka.metrics.reporters=kafka.metrics.KafkaCSVMetricsReporterkafka.csv.metrics.dir=/tmp/kafka_metricskafka.csv.metrics.reporter.enabled=false

因为kafka用scala语言编写，因此运行kafka需要首先准备scala相关环境。

> cd kafka-0> ./sbt update> ./sbt package> ./sbt assembly-package-dependency

其中最后一条指令执行有可能出现异常，暂且不管。启动kafka broker：

> JMS_PORT=9997 bin/kafka-server-start.sh config/server.properties &

因为zookeeper环境已经正常运行了，我们无需通过kafka来挂载启动zookeeper.如果你的一台机器上部署了多个kafka broker，你需要声明JMS_PORT.

2) kafka-1

broker.id=1port=9093##其他配置和kafka-0保持一致

然后和kafka-0一样执行打包命令，然后启动此broker.

> JMS_PORT=9998 bin/kafka-server-start.sh config/server.properties &

到目前为止环境已经OK了,那我们就开始展示编程实例吧。

三.项目准备

项目基于maven构建，不得不说kafka java客户端实在是太糟糕了；构建环境会遇到很多麻烦。建议参考如下pom.xml;其中各个依赖包必须版本协调一致。


       
       
        4.0.0
        
       
        com.test
        
       
        test-kafka
        
       
        jar
        
       
        test-kafka
        
       
        http://maven.apache.org
        
       
        1.0.0
        
        
         
         
          log4j
          
         
          log4j
          
         
          1.2.14
          
         
         
         
          org.apache.kafka
          
         
          kafka_2.8.0
          
         
          0.8.0-beta1
          
          
           
           
            log4j
            
           
            log4j
            
           
          
         
         
         
          org.scala-lang
          
         
          scala-library
          
         
          2.8.1
          
         
         
         
          com.yammer.metrics
          
         
          metrics-core
          
         
          2.2.0
          
         
         
         
          com.101tec
          
         
          zkclient
          
         
          0.3
          
         
        
        
        
         test-kafka-1.0
         
         
          
          
           src/main/resources
           
          
           true
           
          
         
         
          
          
           maven-compiler-plugin
           
          
           2.3.2
           
           
           1.5 
           
            1.5
            
           
            gb2312
            
           
          
          
          
           maven-resources-plugin
           
          
           2.2
           
           
           
            gbk

四.Producer端代码

1) producer.properties文件：此文件放在/resources目录下

#partitioner.class=metadata.broker.list=127.0.0.1:9092,127.0.0.1:9093##,127.0.0.1:9093producer.type=synccompression.codec=0 serializer.class=kafka.serializer.StringEncoder ##在producer.type=async时有效 #batch.num.messages=100

2) LogProducer.java代码样例

package com.test.kafka;import java.util.ArrayList;import java.util.Collection; import java.util.List; import java.util.Properties; import kafka.javaapi.producer.Producer; import kafka.producer.KeyedMessage; import kafka.producer.ProducerConfig; public class LogProducer { private Producer
      
        inner; public LogProducer() throws Exception{ Properties properties = new Properties(); properties.load(ClassLoader.getSystemResourceAsStream("producer.properties")); ProducerConfig config = new ProducerConfig(properties); inner = new Producer
       
        (config); } public void send(String topicName,String message) { if(topicName == null || message == null){ return; } KeyedMessage
        
          km = new KeyedMessage
         
          (topicName,message); inner.send(km); } public void send(String topicName,Collection
          
            messages) { if(topicName == null || messages == null){ return; } if(messages.isEmpty()){ return; } List
           
            
             > kms = new ArrayList
             
              
               >(); for(String entry : messages){ KeyedMessage
               
                 km = new KeyedMessage
                
                 (topicName,entry); kms.add(km); } inner.send(kms); } public void close(){ inner.close(); } /** * @param args */ public static void main(String[] args) { LogProducer producer = null; try{ producer = new LogProducer(); int i=0; while(true){ producer.send("test-topic", "this is a sample" + i); i++; Thread.sleep(2000); } }catch(Exception e){ e.printStackTrace(); }finally{ if(producer != null){ producer.close(); } } } }

五.Consumer端

1) consumer.properties:文件位于/resources目录下

zookeeper.connect=127.0.0.1:2181,127.0.0.1:2182,127.0.0.1:2183##,127.0.0.1:2182,127.0.0.1:2183# timeout in ms for connecting to zookeeperzookeeper.connectiontimeout.ms=1000000#consumer group idgroup.id=test-group #consumer timeout #consumer.timeout.ms=5000

2) LogConsumer.java代码样例

package com.test.kafka;import java.util.HashMap;import java.util.List; import java.util.Map; import java.util.Properties; import java.util.concurrent.ExecutorService; import java.util.concurrent.Executors; import kafka.consumer.Consumer; import kafka.consumer.ConsumerConfig; import kafka.consumer.ConsumerIterator; import kafka.consumer.KafkaStream; import kafka.javaapi.consumer.ConsumerConnector; import kafka.message.MessageAndMetadata; public class LogConsumer { private ConsumerConfig config; private String topic; private int partitionsNum; private MessageExecutor executor; private ConsumerConnector connector; private ExecutorService threadPool; public LogConsumer(String topic,int partitionsNum,MessageExecutor executor) throws Exception{ Properties properties = new Properties(); properties.load(ClassLoader.getSystemResourceAsStream("consumer.properties")); config = new ConsumerConfig(properties); this.topic = topic; this.partitionsNum = partitionsNum; this.executor = executor; } public void start() throws Exception{ connector = Consumer.createJavaConsumerConnector(config); Map
      
        topics = new HashMap
       
        (); topics.put(topic, partitionsNum); Map
        
         >> streams = connector.createMessageStreams(topics); List
         
          
           > partitions = streams.get(topic); threadPool = Executors.newFixedThreadPool(partitionsNum); for(KafkaStream
           
             partition : partitions){ threadPool.execute(new MessageRunner(partition)); } } public void close(){ try{ threadPool.shutdownNow(); }catch(Exception e){ // }finally{ connector.shutdown(); } } class MessageRunner implements Runnable{ private KafkaStream
            
              partition; MessageRunner(KafkaStream
             
               partition) { this.partition = partition; } public void run(){ ConsumerIterator
              
                it = partition.iterator(); while(it.hasNext()){ MessageAndMetadata
               
                 item = it.next(); System.out.println("partiton:" + item.partition()); System.out.println("offset:" + item.offset()); executor.execute(new String(item.message()));//UTF-8 } } } interface MessageExecutor { public void execute(String message); } /** * @param args */ public static void main(String[] args) { LogConsumer consumer = null; try{ MessageExecutor executor = new MessageExecutor() { public void execute(String message) { System.out.println(message); } }; consumer = new LogConsumer("test-topic", 2, executor); consumer.start(); }catch(Exception e){ e.printStackTrace(); }finally{ // if(consumer != null){ // consumer.close(); // } } } }